Course Overview: 

 

This course identifies how business analysts can elicit Agile requirements by writing user stories from use cases and personas of customer profiles.  This leads to the processes of confirming the validity and usability for quality of the product development.  An Agile Business Analyst has become a new recognized role within the other Agile Framework roles.

Attendees to PM-242:Defining Agile Requirements with User Stories will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 2 Days

Course Objectives: At the conclusion of this course, students will be able to:

  • Understand the Scrum Flow, the core components of the Scrum framework
  • Understand the scope of the Product Owner role in detail
  • Understand the scope of the Agile Business Analysis role in coordination with the Product Owner, Scrum Master and Development Team
  • Understand the scope of the Scrum Master role at a high level
  • Understand the scope of the Scrum Development Team roles
  • Document the interactions between the user of a system and the system itself
  • Dive into understanding the Agile principles for requirements using user stories in a card, conversation, and confirmation format

 

Target Student:

  • Designed specifically for Agile project team members, product owners, project leaders and business analysts or anyone wanting to understand the Agile Framework.

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Course Overview:

In this course, students learn the IPv6 protocols & processes & describe how IPv6 is supported in the latest versions of Microsoft Windows operating system.  Students will also learn how to describe transition technologies that allow you to deploy IPv6 in IPv4 intranets & across the IPv4 Internet.

Attendees to TN-395: Internet Protocol Version 6 (IPv6) will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 5 Days

Course Objectives:

  • Learn how to create IPv6 networks with Cisco Systems products
  • Supplement your IPv6 course with a self-study guide based on the course materials
  • Understand practical applications of IPv6 through a solutions-oriented writing approach
  • Increase comprehension & retention through chapter tools like objectives, summaries, scenarios & review questions
  • Features & benefits of IPv6
  • IPv6 in the Windows Server2003 Family
  • IPv6 addressing & the IPv6 header
  • Internet Control Message Protocol for IPv6 (ICMPv6)
  • Neighbor & multicast listener discovery
  • Address auto configuration
  • IPv6 name resolution & routing
  • Coexistence & migration
  • IPv6 mobility

Prerequisites:

  • Students should have a working knowledge of a Windows OR Unix Operating system. 
  • In addition, the student should also have basic end-user skills in TCP/IP.

 

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Course Overview: 

This course details how a well-educated Product Owner and a knowledgeable Scrum Master can work together to deliver a successful product with Agile principles using SCRUM approach.  Designed specifically for students who want to learn the mechanics of an Agile / Scrum team being led by a Product Owner and a Scrum Master.

This course offers a firm grasp of Agile principles as they relate to new product development.  If you need to learn what is required to lead or participate in an Agile effort using the SCRUM approach within your organization, this course covers the Agile adaptive life cycle framework and everything in between.

Attendees to PM-232: Product Owner and Scrum Master Roles in AGILE using SCRUM will receive TechNow approved course materials and expert instruction.

Dates/Locations:

No Events

Duration: 2 Days

Course Objectives: At the conclusion of this course, students will be able to:

  • Understand the Scrum Flow, the core components of the Scrum framework
  • Understand the principles of empirical process control
  • Understand the scope of the Product Owner role in detail
  • Understand the scope of the Scrum Master role at a high level
  • Understand the scope of the Scrum team roles and why there is no project manager
  • Understand how the Scrum Master measures team velocity
  • Understand the importance of having the product vision as an overarching goal galvanizing the entire Scrum team
  • Understand the relationship between the vision and the product roadmap
  • Understand the different estimation levels in Scrum
  • Understand what the Product Backlog is and what it is not
  • Understand Product Backlog grooming
  • Understand that Scrum planning is adaptive, iterative, incremental, and collaborative

 

Target Student:

  • Designed specifically for Agile project team members, product owners, project leaders and senior managers or anyone wanting to understand the Agile Framework.

 

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Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.

The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.

Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value

By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.

Course Objectives:

•MLOps Principles: Model life cycle management for scalable, production-ready AI
•Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives
•AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization
•AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions
•Change Management: Workforce enablement and stakeholder alignment
•KPI Development: AI metrics, success indicators, and executive dashboards
•AI Governance: Risk, ethics, compliance, and responsible AI principles
•Vendor Evaluation: AI platform and tool selection aligned with enterprise needs

Dates/Locations:

No Events

Prerequisites: Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed. 

TN-412: Artificial Intelligence Essentials (AI|E)

 

 

Course Description:

Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use

The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries

Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.

By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.

Course Outline: 

01. Introduction to Artificial Intelligence

02. Everyday AI Tools and Use Cases

03. Building Blocks of AI

04. Prompt Crafting AI-Driven Interactions

05. AI Ethics and Responsible AI

Dates/Locations:

No Events